Model Context Protocol
Hire an MCP developer
I build production Model Context Protocol (MCP) servers that connect your data, internal tools, and APIs to AI assistants like Claude, ChatGPT, and Cursor. I'm Bhuwanesh Sisodia, a full-stack and AI engineer based in India working remotely with teams worldwide — shipping MCP servers and clients, tool-calling pipelines, and scoped, secure access for real products.
What I build
- Custom MCP servers that expose your data, files, and internal APIs as tools
- MCP clients and host integrations — Claude Desktop, Cursor, ChatGPT, agents
- Secure, scoped access: auth, least-privilege tools, rate limits, audit logs
- Tool-calling pipelines with structured outputs, retries, and observability
- Deployment on your cloud (AWS / GCP / Vercel) with logging and monitoring
Stack
- TypeScript
- Python
- MCP SDK
- Claude / OpenAI
- Node.js
- FastAPI
- PostgreSQL
- Docker
Questions, answered
- What is an MCP server and why would I need one?
- The Model Context Protocol is an open standard that lets AI assistants call your tools and read your data through a controlled interface. An MCP server turns your database, internal APIs, or docs into capabilities an assistant like Claude or ChatGPT can use safely — instead of copy-pasting context by hand.
- Which AI clients can connect to an MCP server you build?
- Claude (Desktop and API), Cursor, ChatGPT, and any agent runtime that speaks MCP. I build both the server and, when needed, the client/host integration.
- Can you make an MCP server production-safe?
- Yes — scoped tokens, least-privilege tool design, rate limiting, audit logging, and deployment on your own cloud with monitoring. Security is the default, not an afterthought.
Also hire me for